QA Automation Engineer, VAST Data
AI operating system
Be an early applicant
AI operating system
1001+ employees
Be an early applicant
1001+ employees
Company mission
To empower intelligent agents to store, think, communicate, and act.
Role
Who you are
- At least 2 years’ experience in development of product testing, manufacturing, automation tools. Python is a big advantage
- Knowledge of File Systems (NAS) / Block-level Storage / storage networking protocols
- Experience with Linux & shell scripting: python, bash. - an advantage
- Experience in analyzing large and diverse systems, understanding of QA processes and procedures
- Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers
- Deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must
- Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress
- B.Sc./B.A. degree in computer science, engineering or related discipline – an advantage
Desirable
- Experience with virtualization, cloud, networking, or storage technologies
- Experience with tools like Jenkins and Git
- Good networking knowledge and experience with storage technologies
What the job involves
- VAST Data is looking for a QA Automation Engineer to join our growing team!
- This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history
- Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based)
- Work closely with developers to create and maintain a state of the art system tests
- Define, develop and execute testing plans with deep system knowledge and understanding
Our take
VAST Data is building what you might call the plumbing for the AI era - a purpose-built data platform that unifies storage, compute, and data services in a single, scalable system. With its disaggregated, shared-everything (DASE) architecture, it allows companies to scale their storage independently from compute, meaning AI workloads can grow without behind held back by infrastructure bottlenecks. And their platform delivers flash-speed performance, multi-protocol access, and enterprsie-grade reliability, all while keeping costs reasonable.
This architecture is especially relevant now and the company has recently partnered with GMI CLoud as a key data infrastructure provider for GMI's ambitious new "AI factory" in Taiwan. The data centre is expected to house 7,000 NVIDIA Blackwell GPUS and will lean on VAST's exabyte-scale storage to handle data for model training, inference, and real-time processing.
On top of this, VAST has secured some major partnerships and deals that really position it strongly for the future of AI infrastructure. In November 2025, it struck a $1.17B agreement with CoreWeave, making VASt the primary data foundation for their GPU cloud. It also expanded its collaboration with Google CLoud to offer its AI Operating System as a fully managed service, allowsing global data access across on-prem and cloud environments using VAST DataSpace. These moves suggest VAST isn't just keeping up with AI demand but shaping the infrastructure that will power the next generation of large-scale, distributed intelligent systems.
Freddie
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Dec 2023
$118m
SERIES E
May 2021
$83m
SERIES D
Total funding: $381m
Leadership
Renen Hallak
(Co-Founder & CEO)BA and an MSc in Computer Science. Prior to co-founding VAST, they led the architecture and development of an all flash array at XtremIO as VP of R&D.
Shachar Fienblit
(Co-FOunder & Chief R&D Officer)BSC in Computer Software Engineering. Prior to co-founding VAST, they were the VP of Engineering at Kaminario before being promoted to CTO.
Jeff Denworth
(Co-Founder)Prior to co-founding VAST, they were the SVP of Marketing at CTERA Networks and DDN Storage.
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